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BMJ Open Qual ; 13(2)2024 May 30.
Article in English | MEDLINE | ID: mdl-38816007

ABSTRACT

Previous work found referrals for end-of-life care are made late in the dying process and assessment processes for care funding, through continuing healthcare fast-track funding often inhibit people being able to die at home. The average time to discharge was 6.3 days and 29% died in hospital, as median survival was only 15 days.We aimed to support discharge to home within 1 day by December 2023 for patients, wishing to die at home, referred to the end-of-life discharge team in a medium-sized district general hospital in Southwest England.In phase 1, we identified 13 people on a patient-by-patient basis, learning from obstacles. Barriers identified included sourcing of equipment, communication between teams and clunky paperwork. Median time to discharge was 2 days (range within 24 hours to 8 days) with 2/13 (15.4%) dying prior to discharge. In phase 2, we extended the pilot, and 104 patients were identified; 94 people were discharged to home, with a median of wait of 1 day (range 0-7) to discharge, and 10 (9.6%) died prior to discharge (median 1 day; range 0-4). Median survival from discharge for the 94 who achieved their wishes to go home to die was 9 days (range 1-205 days). Only 26/94 (27.7%) people survived more than 30 days.Rapid decision-making and structures to support home-based end-of-life care can support more people to die in their preferred place of care, by using a community-based rapid response team instead of, or in parallel with continuing healthcare fast-track funding referral applications. Current pathways and funding models are not fit for purpose in an urgent care scenario when we have only one chance to get it right.


Subject(s)
Home Care Services , Quality Improvement , Terminal Care , Humans , Terminal Care/methods , Terminal Care/statistics & numerical data , Terminal Care/standards , Home Care Services/statistics & numerical data , Home Care Services/standards , Female , England , Male , Aged , Aged, 80 and over , Middle Aged , Patient Discharge/statistics & numerical data , Patient Discharge/standards
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